Power System Short-Term Load Forecasting Based on EEMD and Dynamic Neural Network
Dai Liu · Journal of Northeast Dianli University · 2009
This paper proposes a hybrid model based on Ensemble Empirical Mode Decomposition(EEMD), dynamic neural network and BP nature network as a short-term load forecasting model.At first,based on EMD the load series is decomposed into different lots of calm series;then according to the feature of decomposed components,different dynamic neural network model is established;finally,using the BP network,to reconstruct the forecasted signals of the components and abstain the ultimate forecasting result.Simulink results show that the proposed forecasting method possesses accuracy.